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Bangladeshi content platform and production company
Alpha-i Studios Ltd. is a Bangladeshi film production and distribution company, founded by Shahriar Shakil. Apart from producing and distributing Bengali
Alpha-i
Probability distribution
x_{K};\alpha _{1},\ldots ,\alpha _{K}\right)={\frac {1}{\mathrm {B} ({\boldsymbol {\alpha }})}}\prod _{i=1}^{K}x_{i}^{\alpha _{i}-1}} where x i ∈ [ 0
Dirichlet_distribution
Cohort born from 2010s to 2020s
Generation Alpha, often shortened to Gen Alpha, is the demographic cohort succeeding Generation Z and preceding the proposed Generation Beta. While researchers
Generation_Alpha
Error correction code
alpha ^{4}+\alpha ^{-5}x\right)&\alpha ^{-3}+\alpha ^{5}x+\alpha ^{7}x^{2}\\\alpha ^{3}+\alpha ^{-5}x+\alpha ^{6}x^{2}&-\left(\alpha ^{7}x+\alpha ^{5}x^{2}+\alpha
BCH_code
Generative topic model
\left(\sum _{i=1}^{K}\alpha _{i}\right)}{\prod _{i=1}^{K}\Gamma (\alpha _{i})}}\prod _{i=1}^{K}\theta _{j,i}^{n_{j,(\cdot )}^{i}+\alpha _{i}-1}\,d\theta
Latent_Dirichlet_allocation
Economic formula of productivity
p_{i}x_{i}{\frac {(\alpha _{i}+\sum _{j\neq i}^{n}\alpha _{j})}{\alpha _{i}}}=w\Rightarrow p_{i}x_{i}{\frac {1}{\alpha _{i}}}=w} ⇒ x i ∗ = α i w p i ∀ i
Cobb–Douglas production function
Cobb–Douglas_production_function
Standard division algorithm for multi-digit numbers
d i = b r i − 1 + α i + l − 1 {\displaystyle d_{i}=br_{i-1}+\alpha _{i+l-1}} r i = d i − m β i = b r i − 1 + α i + l − 1 − m β i {\displaystyle r_{i}=d_{i}-m\beta
Long_division
[H_{i},E_{\alpha }]=\alpha _{i}E_{\alpha }} Defining the dual root or coroot of α {\displaystyle \alpha } as α ∨ = 2 α ( α , α ) {\displaystyle \alpha ^{\vee
Chevalley_basis
Risk-adjusted measure of the so-called active return on an investment
regression. S C L : R i , t − R f = α i + β i ( R M , t − R f ) + ε i , t {\displaystyle \mathrm {SCL} :R_{i,t}-R_{f}=\alpha _{i}+\beta _{i}\,(R_{M,t}-R_{f})+\varepsilon
Alpha_(finance)
Error-correcting codes
/ α i {\displaystyle 1/\alpha _{i}} , o i = i {\displaystyle o_{i}=i} The error value for o i {\displaystyle o_{i}} is e i = ( − α i ω ( 1 / α i ) )
Reed–Solomon_error_correction
Descriptive statistic
_{ik})\\&={\text{Cov}}(\alpha _{i}+\epsilon _{ij},\alpha _{i}+\epsilon _{ik})\\&={\text{Cov}}(\alpha _{i},\alpha _{i})+2{\text{Cov}}(\alpha _{i},\epsilon
Intraclass_correlation
Theorem in transcendental number theory
has: | I i ( α k ) | ≤ | α k | e | α k | F i ( | α k | ) , {\displaystyle |I_{i}(\alpha _{k})|\leq {|\alpha _{k}|}e^{|\alpha _{k}|}F_{i}({|\alpha _{k}|})
Lindemann–Weierstrass_theorem
Matrix normal form
elements α i {\displaystyle \alpha _{i}} satisfy α i ∣ α i + 1 {\displaystyle \alpha _{i}\mid \alpha _{i+1}} for all 1 ≤ i < r {\displaystyle 1\leq i<r} . This
Smith_normal_form
Discrete probability distribution
{\boldsymbol {\alpha }})&=\,{\frac {c_{i}^{(-n)}+\alpha _{i}}{N-1+\sum _{i}\alpha _{i}}}&\propto \,c_{i}^{(-n)}+\alpha _{i}\end{aligned}}} where c i ( − n )
Categorical_distribution
2026 Bangladeshi film
Mahendra Soni and Redoan Rony under the banner of SVF Entertainment, Alpha-I Studios and Chorki. It marks the first collaboration between Afran Nisho
Domm_(film)
Construct for Hermitian matrices
eigenvectors v i {\displaystyle v_{i}} : x = ∑ i = 1 n α i v i , {\displaystyle x=\sum _{i=1}^{n}\alpha _{i}v_{i},} where α i = x ′ v i v i ′ v i = ⟨ x , v i ⟩ ‖
Rayleigh_quotient
Statistical model
_{t=1}^{T}u_{it}} . Since α i {\displaystyle \alpha _{i}} is constant, α i ¯ = α i {\displaystyle {\overline {\alpha _{i}}}=\alpha _{i}} and hence the effect
Fixed_effects_model
Optimization algorithm
i := ρ i y i ⊤ z i {\displaystyle \beta _{i}:=\rho _{i}y_{i}^{\top }z_{i}} and z i + 1 = z i + ( α i − β i ) s i {\displaystyle z_{i+1}=z_{i}+(\alpha
Limited-memory_BFGS
Linear combination of points where all coefficients are non-negative and sum to 1
{\displaystyle \alpha _{1}x_{1}+\alpha _{2}x_{2}+\cdots +\alpha _{n}x_{n}} where the real numbers α i {\displaystyle \alpha _{i}} satisfy α i ≥ 0 {\displaystyle
Convex_combination
Covert operation by Indonesian military
Alpha (Indonesian: Operasi Alpha) (in Israel known as "פולינז" or Polines for Operation Alpha I in 1980 and "מזורקה" or Mazurka for Operation Alpha II
Operation_Alpha_(Indonesia)
Concept in probability theory
\alpha } and β {\displaystyle \beta } we can compute the posterior hyperparameters α ′ = α + ∑ i x i = 2 + 3 + 4 + 1 = 10 {\textstyle \alpha '=\alpha +\sum
Conjugate_prior
Sequence of differential equation solutions
L_{n}^{(\alpha ')}(x)=(\alpha '-\alpha ){\alpha '+n \choose \alpha '-\alpha }\int _{0}^{x}{\frac {t^{\alpha }(x-t)^{\alpha '-\alpha -1}}{x^{\alpha '}}}L_{n}^{(\alpha
Laguerre_polynomials
About simultaneous modular congruences
condition ∑ i ∈ I α i f i = 0 , {\displaystyle \sum _{i\in I}\alpha _{i}f_{i}=0,} yields ∑ i ∈ I α i F i = 0. {\displaystyle \sum _{i\in I}\alpha _{i}F_{i}=0.}
Chinese_remainder_theorem
Convention for attaching reference frames to links of a kinematic chain
i , i + 1 0 0 0 0 1 ] , {\displaystyle [X_{i}]={\begin{bmatrix}1&0&0&r_{i,i+1}\\0&\cos \alpha _{i,i+1}&-\sin \alpha _{i,i+1}&0\\0&\sin \alpha _{i,i+1}&\cos
Denavit–Hartenberg_parameters
Linear combination whose coefficients sum to 1
combination ∑ i = 1 n α i ⋅ x i = α 1 x 1 + α 2 x 2 + ⋯ + α n x n , {\displaystyle \sum _{i=1}^{n}{\alpha _{i}\cdot x_{i}}=\alpha _{1}x_{1}+\alpha _{2}x_{2}+\cdots
Affine_combination
Computing a robot's end-effector position from joint values and kinematic equations
{Rot} _{X_{i}}(\alpha _{i,i+1})={\begin{bmatrix}1&0&0&0\\0&\cos \alpha _{i,i+1}&-\sin \alpha _{i,i+1}&0\\0&\sin \alpha _{i,i+1}&\cos \alpha _{i,i
Forward_kinematics
Statistical model used in time series analysis
− ∑ i = 1 p ′ α i L i ) X t = ( 1 + ∑ i = 1 q θ i L i ) ε t {\displaystyle \left(1-\sum _{i=1}^{p'}\alpha _{i}L^{i}\right)X_{t}=\left(1+\sum _{i=1}^{q}\theta
Autoregressive integrated moving average
Autoregressive_integrated_moving_average
Concept in calculus of variations
r_{\alpha _{1}}\partial r_{\alpha _{2}}\cdots \partial r_{\alpha _{i}}}}\qquad \qquad {\text{where}}\quad \alpha _{1},\alpha _{2},\dots ,\alpha _{i}=1
Functional_derivative
Statistical measure in mathematical model
α ^ i {\displaystyle {\hat {\alpha }}_{i}} with the following formula : V I F i = 1 1 − R i 2 {\displaystyle \mathrm {VIF} _{i}={\frac {1}{1-R_{i}^{2}}}}
Variance_inflation_factor
Linear combination of indicator functions of real intervals
[citation needed] f ( x ) = ∑ i = 0 n α i χ A i ( x ) {\displaystyle f(x)=\sum \limits _{i=0}^{n}\alpha _{i}\chi _{A_{i}}(x)} , for all real numbers x
Step_function
Statistical learning theory
= ∑ i = 1 n α i k ( ⋅ , x i ) , {\displaystyle f^{*}(\cdot )=\sum _{i=1}^{n}\alpha _{i}k(\cdot ,x_{i}),} where α i ∈ R {\displaystyle \alpha _{i}\in \mathbb
Representer_theorem
Type of two-dimensional barcode
{\displaystyle g(x)=x^{7}+\alpha ^{87}x^{6}+\alpha ^{229}x^{5}+\alpha ^{146}x^{4}+\alpha ^{149}x^{3}+\alpha ^{238}x^{2}+\alpha ^{102}x+\alpha ^{21}} . This is obtained
QR_code
Concept in mathematics
M={\begin{bmatrix}\alpha _{1}&\alpha _{1}^{q}&\dots &\alpha _{1}^{q^{n-1}}\\\alpha _{2}&\alpha _{2}^{q}&\dots &\alpha _{2}^{q^{n-1}}\\\alpha _{3}&\alpha _{3}^{q}&\dots
Moore_matrix
Relativistic quantum mechanical wave equation
satisfy α i 2 = 1 {\displaystyle \alpha _{i}^{2}=1} and α i α j + α j α i = 0 {\displaystyle \alpha _{i}\alpha _{j}+\alpha _{j}\alpha _{i}=0} if i ≠ j {\displaystyle
Dirac_equation
Algorithm for finding a local minimum of a function
1 , x 0 + ∑ i = 1 2 α i s i , … , x 0 + ∑ i = 1 N α i s i } {\textstyle \{x_{0}+\alpha _{1}s_{1},{x}_{0}+\sum _{i=1}^{2}\alpha _{i}{s}_{i},\dots ,{x}_{0}+\sum
Powell's_method
Time series model
_{i=1}^{q}\alpha _{i}\epsilon _{t-i}^{2}} , where α 0 > 0 {\displaystyle ~\alpha _{0}>0~} and α i ≥ 0 , i > 0 {\displaystyle \alpha _{i}\geq 0,~i>0}
Autoregressive conditional heteroskedasticity
Autoregressive_conditional_heteroskedasticity
Distributions in probability theory
{\displaystyle \alpha _{0}=\sum \alpha _{k}} and let p i = α i ∑ α k = α i α 0 {\displaystyle p_{i}={\frac {\alpha _{i}}{\sum \alpha _{k}}}={\frac {\alpha _{i}}{\alpha
Dirichlet-multinomial distribution
Dirichlet-multinomial_distribution
Exterior algebraic map taking tensors from p forms to n-p forms
α i 1 , … , i k d x i 1 ∧ ⋯ ∧ d x i k = ∑ i 1 < ⋯ < i k α i 1 , … , i k d x i 1 ∧ ⋯ ∧ d x i k . {\displaystyle \alpha \ =\ {\frac {1}{k!}}\alpha _{i_{1}
Hodge_star_operator
Probability multivariate distribution
(x_{\bullet },\alpha _{\bullet })}{\mathrm {B} (x_{0},\alpha _{0})}}\prod _{i=1}^{m}{\frac {\Gamma (x_{i}+\alpha _{i})}{x_{i}!\Gamma (\alpha _{i})}}.} To obtain
Dirichlet negative multinomial distribution
Dirichlet_negative_multinomial_distribution
First letter of the Greek alphabet
Alpha /ˈælfə/ ALF-ə (uppercase Α, lowercase α) is the first letter of the Greek alphabet. In the system of Greek numerals, it has a value of one. Alpha
Alpha
Spline function
i − 1 t i + k − t i B i , k − 1 on [ t r , t s ] , {\displaystyle {\frac {d}{dx}}\sum _{i}\alpha _{i}B_{i,k}=\sum _{i=r-k+2}^{s-1}k{\frac {\alpha _{i}-\alpha
B-spline
Process in linear algebra
that w = ∑ i = 1 m α i u i ⊗ v i {\textstyle w=\sum _{i=1}^{m}\alpha _{i}u_{i}\otimes v_{i}} , where the scalars α i {\displaystyle \alpha _{i}} are real
Schmidt_decomposition
Independent parameter describing the state of a physical system
E_{i}\rangle =\int dX_{i}\,\alpha _{i}X_{i}^{2}\,p_{i}(X_{i})={\frac {\displaystyle \int dX_{i}\,\alpha _{i}X_{i}^{2}\,e^{-{\frac {\alpha _{i}X_{i
Degrees of freedom (physics and chemistry)
Degrees_of_freedom_(physics_and_chemistry)
Polynomial whose roots are the eigenvalues of a matrix
= ∑ i α i t i . {\textstyle f(t)=\sum _{i}\alpha _{i}t^{i}.} Then f ( A ) = ∑ α i ( S − 1 U S ) i = ∑ α i S − 1 U S S − 1 U S ⋯ S − 1 U S = ∑ α i S −
Characteristic_polynomial
Theorem
_{i=1}^{n}x_{i}g_{i}(x)&&\\&=\sum _{i=1}^{n}\left[x_{i}\left(g_{i}(x)-\alpha _{i}\right)\right]+\sum _{i=1}^{n-1}\left[x_{i}\alpha _{i}\right]&&\quad
Hadamard's_lemma
Statistical technique
i ℓ = 1 | X i ℓ ) = exp ( α i + β ⊤ X i ℓ ) 1 + exp ( α i + β ⊤ X i ℓ ) {\displaystyle \mathbb {P} (Y_{i\ell }=1|X_{i\ell })={\frac {\exp(\alpha _{i}+{\boldsymbol
Conditional logistic regression
Conditional_logistic_regression
Probability distribution
∑ i = 0 α − 1 ( β x ) i i ! e − β x = e − β x ∑ i = α ∞ ( β x ) i i ! . {\displaystyle {\begin{aligned}F(x;\alpha ,\beta )&=1-\sum _{i=0}^{\alpha -1}{\frac
Gamma_distribution
Statistical test
combination of the explanatory variables: μ i j = μ + α i + β j + γ i j {\displaystyle \mu _{ij}=\mu +\alpha _{i}+\beta _{j}+\gamma _{ij}} , Where: μ {\displaystyle
Two-way_analysis_of_variance
Isomorphism between the tangent and cotangent bundles of a manifold
covector α = α i e i {\displaystyle \alpha =\alpha _{i}e^{i}} with the inverse of g {\displaystyle g} gives a vector with components α i = g i j α j . {\displaystyle
Musical_isomorphism
Algorithm in mathematics
i {\displaystyle i} at time t {\displaystyle t} . This is found recursively: α i ( 1 ) = π i b i ( y 1 ) , {\displaystyle \alpha _{i}(1)=\pi _{i}b_{i}(y_{1})
Baum–Welch_algorithm
Algebraic construct of interest in theoretical physics
_{i})}e_{i}\\k_{\lambda }f_{i}k_{\lambda }^{-1}&=q^{-(\lambda ,\alpha _{i})}f_{i}\\\left[e_{i},f_{j}\right]&=\delta _{ij}{\frac {k_{i}-k_{i}^{-1}}{q_{i}-q_{i
Quantum_group
Measure of polynomial height
| ∏ | α i | ≥ 1 | α i | = | a | ∏ i = 1 n max { 1 , | α i | } , {\displaystyle M(p)=|a|\prod _{|\alpha _{i}|\geq 1}|\alpha _{i}|=|a|\prod _{i=1}^{n}\max\{1
Mahler_measure
Class of numerical techniques
S ] , α i > 0 , α C = ∑ i ∈ { N , E , S , W } α i . {\displaystyle {\begin{bmatrix}&\alpha _{N}\\\alpha _{W}&-\alpha _{C}&\alpha _{E}\\&\alpha _{S}\end{bmatrix}}\
Finite_difference_method
= − ⟨ α i , α j ⟩ f j , {\displaystyle [h_{i},e_{j}]=\langle \alpha _{i},\alpha _{j}\rangle e_{j},\,[h_{i},f_{j}]=-\langle \alpha _{i},\alpha _{j}\rangle
Serre's theorem on a semisimple Lie algebra
Serre's_theorem_on_a_semisimple_Lie_algebra
Mass spectrometer
November 1943. A second Alpha I racetrack became operational in January 1944. The first Beta racetrack and the third and first Alpha racetracks, now repaired
Calutron
Compact operator for which a finite trace can be defined
u i ) i {\displaystyle (u_{i})_{i}} and ( v i ) i {\displaystyle (v_{i})_{i}} and a sequence ( α i ) i {\displaystyle \left(\alpha _{i}\right)_{i}} of
Trace_class
Type of complex number
{Q} (\alpha )} can be written as a sum ∑ i = 1 k a i q i {\displaystyle \textstyle \sum _{i=1}^{k}a_{i}q_{i}} for some rational coefficients { q i } {\displaystyle
Algebraic_number
Concept in public economics
method: L = ∑ i α i u i ( x i , y ) + λ ( w − z − ∑ i = 1 I x i ) + μ ( g ( z ) − y ) {\displaystyle L=\sum _{i}\alpha ^{i}u^{i}(x^{i},y)+\lambda \left(w-z-\sum
Samuelson_condition
Statistical description for the behavior of fermions
= ∏ i w ( n i , g i ) = ∏ i g i ! n i ! ( g i − n i ) ! . {\displaystyle W=\prod _{i}w(n_{i},g_{i})=\prod _{i}{\frac {g_{i}!}{n_{i}!(g_{i}-n_{i})!}}
Fermi–Dirac_statistics
Matrices similar to diagonal matrices
following: A α i = λ i α i ( i = 1 , 2 , … , n ) . {\displaystyle A{\boldsymbol {\alpha }}_{i}=\lambda _{i}{\boldsymbol {\alpha }}_{i}\qquad (i=1,2,\dots
Diagonalizable_matrix
Edible mixture of glucose and fructose, obtained from sucrose hydrolysis
i ) [ α ] i = ∑ i = 1 N χ i [ α ] i {\displaystyle \displaystyle \alpha ={\frac {\sum _{i=1}^{N}C_{i}[\alpha ]_{i}}{\sum _{i=1}^{N}C_{i}}}=\sum _{i=1}^{N}\left({\frac
Inverted_sugar_syrup
Distribution of variables which satisfies a stability property under linear combinations
exp ( i t μ − | c t | α ( 1 − i β sgn ( t ) Φ ) ) {\displaystyle \varphi (t;\alpha ,\beta ,c,\mu )=\exp \left(it\mu -|ct|^{\alpha }\left(1-i\beta \operatorname
Stable_distribution
Quantum state of multiple particles represented as complex matrices
})_{\alpha _{i},(\alpha _{i-1}s_{i})}U_{(\alpha _{i-1}s_{i}),\alpha _{j}}=\sum _{\alpha _{i-1}s_{i}}(A^{s_{i}\dagger })_{\alpha _{i},\alpha _{i-1}}A_{\alpha
Matrix_product_state
Mathematical notation
\alpha \pm \beta =(\alpha _{1}\pm \beta _{1},\,\alpha _{2}\pm \beta _{2},\ldots ,\,\alpha _{n}\pm \beta _{n})} Partial order α ≤ β ⇔ α i ≤ β i ∀ i ∈
Multi-index_notation
Lie algebra, usually infinite-dimensional
C} , i.e. a triple ( h , { α i } i = 1 n , { α i ∨ } i = 1 n , {\displaystyle ({\mathfrak {h}},\{\alpha _{i}\}_{i=1}^{n},\{\alpha _{i}^{\vee }\}_{i=1}^{n}
Kac–Moody_algebra
= { ∑ i = 1 k α i x i : x i ∈ S , α i ∈ R ≥ 0 , k ∈ N } . {\displaystyle \operatorname {coni} (S)=\left\{\sum _{i=1}^{k}\alpha _{i}x_{i}:x_{i}\in S,\
Conical_combination
Generalized method of moments estimator in econometrics
i t = X i t β + α i + u i t {\displaystyle y_{it}=X_{it}\mathbf {\beta } +\alpha _{i}+u_{it}} for t = 1 , … , T {\displaystyle t=1,\ldots ,T} and i =
Arellano–Bond_estimator
Mathematical optimization algorithm
basis: x ∗ = ∑ i = 1 n α i p i ⇒ A x ∗ = ∑ i = 1 n α i A p i . {\displaystyle \mathbf {x} _{*}=\sum _{i=1}^{n}\alpha _{i}\mathbf {p} _{i}\Rightarrow \mathbf
Conjugate_gradient_method
Direct sum of simple Lie algebras
{\displaystyle [e_{\alpha },f_{\alpha }]=h_{\alpha },[h_{\alpha },e_{\alpha }]=2e_{\alpha },[h_{\alpha },f_{\alpha }]=-2f_{\alpha }} ; i.e., the h α , e α
Semisimple_Lie_algebra
248-dimensional exceptional simple Lie group
given by A i j = 2 ( α i , α j ) ( α i , α i ) {\displaystyle A_{ij}=2{\frac {\left(\alpha _{i},\alpha _{j}\right)}{\left(\alpha _{i},\alpha _{i}\right)}}}
E8_(mathematics)
Random model in mathematics
X_{n}=x_{n})&={\frac {\prod _{i=1}^{k}\left(\alpha +i-1\right)\times \prod _{i=1}^{n-k}\left(\gamma +i-1\right)}{\prod _{i=1}^{n}\left(\gamma +\alpha +i-1\right)}}\\&={\frac
Pólya_urn_model
Criterion applied in hierarchical cluster analysis
d_{(ij)k}=\alpha _{i}d_{ik}+\alpha _{j}d_{jk}+\beta d_{ij}+\gamma |d_{ik}-d_{jk}|,} where α i , α j , β , {\displaystyle \alpha _{i},\alpha _{j},\beta
Ward's_method
Mathematical framework for investment risk
1 + ( 1 − α ) P 2 {\displaystyle P_{target}=\alpha P_{1}+(1-\alpha )P_{2}} where α {\displaystyle \alpha } is the weighting factor. Because the underlying
Modern_portfolio_theory
Family of solutions to related differential equations
{J_{-\alpha }(x)-e^{-\alpha \pi i}J_{\alpha }(x)}{i\sin \alpha \pi }},\\[5pt]H_{\alpha }^{(2)}(x)&={\frac {J_{-\alpha }(x)-e^{\alpha \pi i}J_{\alpha }(x)}{-i\sin
Bessel_function
Algebraic structure designed for geometry
exactly { α 0 + i α 1 + j α 2 + k α 3 ∣ α i ∈ R } {\displaystyle \{\alpha _{0}+i\alpha _{1}+j\alpha _{2}+k\alpha _{3}\mid \alpha _{i}\in \mathbb {R} \}}
Geometric_algebra
Probability distribution
β ) = I x ( α , β ) {\displaystyle F(x;\alpha ,\beta )={\frac {\mathrm {B} {}(x;\alpha ,\beta )}{\mathrm {B} {}(\alpha ,\beta )}}=I_{x}(\alpha ,\beta
Beta_distribution
Smallest affine subspace that contains a subset
∑ i = 1 k α i x i | k > 0 , x i ∈ S , α i ∈ R , ∑ i = 1 k α i = 1 } . {\displaystyle \operatorname {aff} (S)=\left\{\sum _{i=1}^{k}\alpha _{i}x_{i}\,{\Bigg
Affine_hull
Condition in monotone comparative statics
and α i ′ > α i {\displaystyle \alpha ^{i'}>\alpha ^{i}} or if q < q ′ {\displaystyle q<q'} and α i ′ < α i {\displaystyle \alpha ^{i'}<\alpha ^{i}} , then
Single-crossing_condition
1998 action-adventure video game
the initial invaders he is wounded in the process. He is ready to board Alpha I, the time traveling vehicle developed at Station Omega, when more aliens
Body_Harvest
Type system used in computer programming and mathematics
\alpha } , meaning that they are true for all possible α {\displaystyle \alpha } : c o n s : ∀ α . α → L i s t α → L i s t α n i l : ∀ α . L i s
Hindley–Milner_type_system
: α i α j + α j α i = 2 δ i j I N , β 2 = I N , α i β + β α i = 0 , 1 ≤ i , j ≤ n . {\displaystyle \alpha ^{i}\alpha ^{j}+\alpha ^{j}\alpha ^{i}=2\delta
Pokhozhaev's_identity
Operation in abstract algebra
{\displaystyle (\alpha _{i})} where α i ∈ M i {\displaystyle \alpha _{i}\in M_{i}} and α i = 0 {\displaystyle \alpha _{i}=0} for cofinitely many indices i. (The
Direct_sum_of_modules
Frame field in general relativity
α V I = ∂ α V I + ω α I J V J . {\displaystyle {\mathcal {D}}_{\alpha }V_{I}=\partial _{\alpha }V_{I}+{\omega _{\alpha I}}^{J}V_{J}.} Where ω α I J {\displaystyle
Tetradic_Palatini_action
Equation for a material's dielectric constant given its atomic polarizability
{\varepsilon _{\text{r}}-1}{\varepsilon _{\text{r}}+2}}=\sum _{i}{\frac {N_{i}\alpha _{i}}{3\varepsilon _{0}}}.} In the CGS system of units the Clausius–Mossotti
Clausius–Mossotti_relation
Concept in regression analysis mathematics
i = 1 n α i K x i ( x ) , f ∈ H {\textstyle f(x)=\sum _{i=1}^{n}\alpha _{i}K_{x_{i}}(x),\,f\in {\mathcal {H}}} , where all α i {\displaystyle \alpha _{i}}
Regularized_least_squares
Supersymmetric generalization of the Poincaré algebra
Q_{\alpha }^{I}]=0} and { Q α I , Q ¯ α ˙ J } = 2 σ α α ˙ μ P μ δ I J {\displaystyle \{Q_{\alpha }^{I},{\bar {Q}}_{\dot {\alpha }}^{J}\}=2\sigma _{\alpha
Super-Poincaré_algebra
Undecidable decision problem introduced by Emil Post
( i 1 , … , i K ) ↦ α i 1 … α i K {\displaystyle g:(i_{1},\ldots ,i_{K})\mapsto \alpha _{i_{1}}\ldots \alpha _{i_{K}}} h : ( i 1 , … , i K ) ↦ β i 1 …
Post_correspondence_problem
Probability distribution
{\boldsymbol {\alpha }}=(\alpha _{1},\alpha _{2},\alpha _{3},\alpha _{4},...,\alpha _{n})} with ∑ i = 1 n α i = 1 {\displaystyle \sum _{i=1}^{n}\alpha _{i}=1} and
Phase-type_distribution
Theory of computer sciences
A\alpha } where α {\displaystyle \alpha } is a sequence of nonterminals and terminals . For example, the rule E x p r e s s i o n → E x p r e s s i o
Left_recursion
Generating function in integrable systems
:= e ∑ i = 1 ∞ t i α k i + γ k e ∑ i = 1 ∞ t i β k i k = 1 , … , N , {\displaystyle y_{k}({\bf {t}}):=e^{\sum _{i=1}^{\infty }t_{i}\alpha _{k}^{i}}+\gamma
Tau function (integrable systems)
Tau_function_(integrable_systems)
Parametrization used for loop integrals
{\displaystyle \alpha =s_{1}+...+s_{n},} α i = s i s 1 + ⋯ + s n ; i = 1 , … , n − 1 , {\displaystyle \alpha _{i}={\frac {s_{i}}{s_{1}+\cdots +s_{n}}};\ i=1,\ldots
Feynman_parametrization
w T w + c ∑ i = 1 N ξ i − ∑ i = 1 N α i { y i [ w T ϕ ( x i ) + b ] − 1 + ξ i } − ∑ i = 1 N β i ξ i , {\displaystyle L_{1}(w,b,\xi ,\alpha ,\beta )={\frac
Least-squares support vector machine
Least-squares_support_vector_machine
\cos \alpha _{i,k}\sin \alpha _{k,j}+\cos \lambda \sin \alpha _{i,j}=\cos \alpha _{i,l}\left(\cos \alpha _{i,j}\sin \alpha _{k,j}+\sin \alpha _{i,j}\cos
Trigonometry_of_a_tetrahedron
Concept in abstract algebra
{\displaystyle J_{\alpha }} since 0 α i = 0 {\displaystyle 0\alpha ^{i}=0} for all α {\displaystyle \alpha } and i {\displaystyle i} . This makes the zero
Minimal polynomial (field theory)
Minimal_polynomial_(field_theory)
Constraint equations of a mechanical system
[X_{i}]={\begin{bmatrix}1&0&0&a_{i,i+1}\\0&\cos \alpha _{i,i+1}&-\sin \alpha _{i,i+1}&0\\0&\sin \alpha _{i,i+1}&\cos \alpha _{i,i+1}&0\\0&0&0&1\end{bmatrix}}
Kinematics_equations
Frequencies in coupled oscillators
{\alpha }}_{2}&=i\Delta _{2}\alpha _{2}-\gamma _{2}(\alpha _{2}-\alpha _{2}^{*}e^{2i\omega t})-ig{\tfrac {\omega _{2}}{\omega _{1}}}(\alpha _{1}+\alpha
Antiresonance
Type of block code
S_{3}=e(\alpha ^{3})} . If say two errors occur, then S 1 = α i + α i ′ {\displaystyle S_{1}=\alpha ^{i}+\alpha ^{i'}} and S 3 = α 3 i + α 3 i ′ {\displaystyle
Cyclic_code
Statistical measure of reliability
Cronbach's alpha (Cronbach's α {\displaystyle \alpha } ) or coefficient alpha (coefficient α {\displaystyle \alpha } ), is a reliability coefficient and
Cronbach's_alpha
Fluid coupling that transfers rotating power from a prime mover to a rotating driven load
}{\frac {Q}{A}}\tan {\alpha _{\mathrm {t} }}-\omega _{i}R_{i}^{2}-R_{i}{\frac {Q}{A}}\tan {\alpha _{i}})Q+\tau _{\mathrm {t} }} I s ω s ˙ + ρ S s Q ˙ =
Torque_converter
Mathematical logic hierarchy
each A i {\displaystyle A_{i}} is in Π α i 0 {\displaystyle \mathbf {\Pi } _{\alpha _{i}}^{0}} for some α i < α {\displaystyle \alpha _{i}<\alpha } and
Borel_hierarchy
ALPHA I
ALPHA I
Boy/Male
Indian
Faith, Belief, Faith in Allah
Girl/Female
Indian
Loving
Girl/Female
Greek American
Firstbom.' The first letter of the Greek alphabet.
Girl/Female
Arabic
Respectable
Girl/Female
Indian
Little
Boy/Male
Indian
From isbahan
Male
African
(ox); the first letter of the Greek alphabet.
Boy/Male
Indian
Intelligent
Surname or Lastname
Northern Irish, Scottish, and English
Northern Irish, Scottish, and English : variant of Irvin.English : from the Middle English personal name Irwyn, Erwyn, or Everwyn, Old English Eoforwine, composed of the elements eofor ‘wild boar’ + wine ‘friend’.From the Welsh personal name Urien (see Uren).
Girl/Female
American, British, English, Greek
Healer; With Healing Power
Boy/Male
Tamil
First letter of the greek alphabet
Girl/Female
Gujarati, Hindu, Indian, Jain, Kannada, Malayalam, Marathi, Oriya, Sanskrit, Tamil, Telugu
Little; Collection of Many Small Things
Girl/Female
Tamil
Little
Boy/Male
Indian
A Man of early Islam
Boy/Male
African, Australian, Chinese, French, Latin, Swedish
First Letter of the Greek Alphabet; Leader
Boy/Male
Indian
A prophet, The biblical ishm
Boy/Male
Indian
Insist, Never gives up
Boy/Male
Indian
Honor of the religion (Islam)
Boy/Male
Hindu
First letter of the greek alphabet
Girl/Female
English American
Healer.
ALPHA I
ALPHA I
Boy/Male
Italian French
Present.
Boy/Male
American, British, English
From the Split Meadow
Boy/Male
Hindu
The unblemished Moon
Surname or Lastname
English
English : from an unattested Old English personal name Wealding.English : topographic name from an unattested Old English word, wealding ‘forest dweller’, from weald ‘forest’.
Girl/Female
Gujarati, Hindu, Indian
Open Tresses; Goddess Parvati
Female
English
English form of French Nicole, NICHOLE means "victor of the people."Â
Girl/Female
Muslim
Rose-face
Girl/Female
Hindu, Indian
Goddess Durga
Boy/Male
Muslim/Islamic
Preservation infallibility
Boy/Male
English
Cleric; secretary.
ALPHA I
ALPHA I
ALPHA I
ALPHA I
ALPHA I
imp. & p. p.
of Idolatrize
imp. & p. p.
of Identify
n.
The first letter in the Greek alphabet, answering to A, and hence used to denote the beginning.
n.
The seed of canary grass (Phalaris Canariensis), used for feeding cage birds.
v. i.
To worship idols; to pay idolatrous worship.
n.
Alt. of Alpia
imp. & p. p.
of Idle
n.
A northern constellation, the Harp, containing a white star of the first magnitude, called Alpha Lyrae, or Vega.
imp. & p. p.
of Ice
n.
The last letter of the Greek alphabet. See Alpha.
v. i.
To become the same; to coalesce in interest, purpose, use, effect, etc.
n.
A five-pointed star, resembling five alphas joined at their bases; -- used as a symbol.
a.
Implying privation or negation; giving a negative force to a word; as, alpha privative; privative particles; -- applied to such prefixes and suffixes as a- (Gr. /), un-, non-, -less.
imp. & p. p.
of Idealize
v. i.
To practice idolatry.
v. i.
To lose or spend time in inaction, or without being employed in business.
imp. & p. p.
of Idolize
imp. & p. p.
of Itinerate
v. i.
To form ideals.